Abstract
Video streaming is one of the challenging issues in vehicular ad-hoc networks (VANETs) due to their highly dynamic topology and frequent connectivity disruptions. Recent developments in the routing protocol methods used in VANETs have contributed to improvements in the quality of experience (QoE) of the received video. One of these methods is the selection of the next-hop relay vehicle. In this paper, a QoE-aware geographic protocol for video streaming over VANETs is proposed. The selection process of the next relay vehicle is based on a correlated formula of QoE and quality of service (QoS) factors to enhance the users’ QoE. The simulation results show that the proposed GeoQoE-Vanet outperforms both GPSR and GPSR-2P protocols in providing the best end-user QoE of video streaming service.
Highlights
Vehicular ad hoc networks (VANETs) are a challenging class of mobile ad hoc networks (MANETs) [1]
This paper proposes a new protocol that improves the greedy forwarding strategy used in many geographic routing protocols such as greedy perimeter stateless protocol (GPSR) protocol
In GeoQoE-Vanet, this process is based in addition to the quality of experience (QoE) measured based on packet loss rate, delay and jitter, on the prediction of the distance to destination calculated according to the position, speed and direction, stored in the table of neighbours
Summary
Vehicular ad hoc networks (VANETs) are a challenging class of mobile ad hoc networks (MANETs) [1]. Several studies confirm that the position-based routing protocols perform well in VANETs [12] In these protocols, the routing of information from source to destination is based on selecting the nearest vehicle from the destination as the hop. This paper proposes a new protocol that improves the greedy forwarding strategy used in many geographic routing protocols such as GPSR protocol. This new protocol is a QoE-aware geographic routing protocol for video streaming over VANETs called GeoQoE-Vanet. QoE and QoS factors has been developed It allows evaluation of each nearby vehicle and selecting the most suitable forwarding hop, as we stated in [14].
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